report_05-07-2025_00-34-54.html

[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_510'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_510', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-1' pid=479321 parent=478286 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x60351ad55fb0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.11s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.109s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.44065s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.44100s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.44140s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.44165s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.44200s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.44227s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.44254s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.44283s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.44307s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.44331s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.44354s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.44380s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.44407s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.44436s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.44462s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.44491s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.44518s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.44541s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.44573s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.44597s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.44619s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.44648s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.44669s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.44690s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.44722s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.44749s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.44774s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.44800s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.44826s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.44850s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.44886s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.44909s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.44942s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.44976s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.45002s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.45035s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.45071s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.45093s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.45119s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.45152s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.45177s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.45179s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.45182s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 23111533 bytes MEM: Free's : 26 free's of 23111533 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:08.917530086 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{4,12,30,43,4} Process Process-1: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{4,12,30,43,4}

[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_439'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_439', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-1' pid=479312 parent=477734 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x631fde21bb70 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.77s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.19850s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.19872s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.19885s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.19914s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.19936s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.19950s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.19969s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.19982s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.19997s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.20014s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.20026s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.20038s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.20055s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.20073s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.20085s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.20101s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.20115s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.20127s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.20147s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.20166s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.20181s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.20198s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.20212s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.20226s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.20242s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.20256s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.20268s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.20281s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.20293s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.20307s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.20328s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.20341s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.20357s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.20371s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.20385s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.20398s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.20419s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.20431s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.20448s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.20467s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.20484s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.20485s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.20487s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 19485289 bytes MEM: Free's : 26 free's of 19485289 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:08.905690505 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,11,22,9,2} Process Process-1: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,11,22,9,2}

[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_455'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_455', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-1' pid=479314 parent=478221 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5a8d1f104360 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.11s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.12s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.126s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.23447s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.23479s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.23513s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.23535s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.23567s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.23590s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.23613s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.23634s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.23663s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.23689s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.23714s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.23741s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.23766s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.23794s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.23825s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.23857s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.23885s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.23912s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.23935s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.23964s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.23994s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.24022s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.24073s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.24100s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.24126s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.24158s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.24185s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.24208s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.24233s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.24260s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.24289s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.24311s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.24340s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.24367s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.24393s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.24415s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.24447s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.24470s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.24493s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.24525s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.24554s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.24557s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.24559s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 19485289 bytes MEM: Free's : 26 free's of 19485289 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:08.986585759 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,9,11,22,2} Process Process-1: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,9,11,22,2}

[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_1052'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_1052', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-1' pid=479313 parent=477740 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5abffe61a700 Final number of subgraphs created are : 1, - Offloaded Nodes - 2, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.12s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.13s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.112s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.2738s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.2796s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.2829s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.2854s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.2887s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.2914s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.2939s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.2962s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.2993s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.3012s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.3026s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.3045s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.3061s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.3089s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.3105s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.3123s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.3146s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.3160s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.3174s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.3196s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.3210s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.3227s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.3244s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.3260s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.3277s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.3294s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.3311s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.3329s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.3348s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.3360s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.3383s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.3399s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.3413s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.3426s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.3443s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.3456s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.3478s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.3494s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.3510s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.3526s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.3548s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.3549s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.3551s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 21701413 bytes MEM: Free's : 26 free's of 21701413 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
Process Process-1: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 174, in perform_tidl_unit_oneprocess max_nmse = tidl_unit_dataset([results_list])['max_nmse'] File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/datasets/tidl_unit_dataset.py", line 132, in __call__ assert expected_output.shape == output.shape, f" Shape mismatch! Expected {expected_output.shape} got {output.shape}" AssertionError: Shape mismatch! Expected (160, 12, 9, 13) got (2, 12, 9, 13)

[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_835'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_835', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-1' pid=479319 parent=478151 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5feb17971c20 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.12s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.107s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1241s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1277s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1315s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1351s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1388s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1426s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1457s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1487s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1522s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1549s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1576s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1611s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1641s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1670s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1708s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1737s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1763s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1792s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1821s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1848s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1879s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1907s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1935s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1967s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1996s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.2021s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.2049s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.2076s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.2102s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.2130s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.2160s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.2182s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.2213s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.2240s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.2265s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.2292s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.2323s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.2346s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.2376s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.2405s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.2435s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.2438s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.2440s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18693949 bytes MEM: Free's : 26 free's of 18693949 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:08.975110698 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{1,11,16,1,11} Process Process-1: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{1,11,16,1,11}

[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_192'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_192', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-1' pid=479320 parent=477783 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x582508072d70 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_192/artifacts/subgraph_0_tidl_net.bin

[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_903'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_903', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-1' pid=479331 parent=477988 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x6389bc7a1ab0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.96s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1020s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1043s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1057s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1083s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1101s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1118s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1137s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1150s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1167s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1189s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1207s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.2092s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.2144s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.2172s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.2196s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.2216s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.2233s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.2247s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.2268s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.2286s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.2302s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.2324s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.2341s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.2356s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.2374s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.2392s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.2409s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.2427s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.2444s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.2459s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.2484s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.2499s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.2517s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.2536s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.2555s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.2572s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.2601s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.2619s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.2636s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.2656s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.2679s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.2681s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.2683s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18677857 bytes MEM: Free's : 26 free's of 18677857 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:08.904859706 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{138,2,5} Process Process-1: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{138,2,5}

[gw9] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw9] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw9] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_221'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_221', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-1' pid=479318 parent=477852 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw9] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x61523aa24a20 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_221/artifacts/subgraph_0_tidl_net.bin

[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_768'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_768', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-1' pid=479323 parent=477985 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x57c4d3666370 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.115s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1152s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1185s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1209s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1232s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1269s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1291s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1317s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1341s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1363s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1389s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1419s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1441s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1465s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1497s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1525s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1548s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1577s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1598s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1624s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1656s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1681s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1705s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1731s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1758s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1782s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1811s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1837s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1859s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1886s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1907s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1938s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1965s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1990s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.2012s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.2037s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.2057s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.2088s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.2115s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.2142s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.2168s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.2198s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.2200s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.2203s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18693949 bytes MEM: Free's : 26 free's of 18693949 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:08.888483669 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,16,11} Process Process-1: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,16,11}

[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_410'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_410', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-1' pid=479328 parent=477728 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5a59391cecf0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.96s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1005s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1030s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1045s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1063s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1084s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1098s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1118s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1129s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1144s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1165s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1177s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1189s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1207s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1224s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1238s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1257s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1273s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1335s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1353s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1370s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1383s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1401s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1416s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1428s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1443s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1456s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1471s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1488s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1500s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1513s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1533s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1545s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1560s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1574s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1588s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1601s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1622s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1637s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1653s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1672s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1691s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1692s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1694s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 19485289 bytes MEM: Free's : 26 free's of 19485289 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:08.862948048 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{9,11,2,11,22} Process Process-1: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{9,11,2,11,22}

[gw1] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw1] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw1] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_550'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_550', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-1' pid=479329 parent=477731 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw1] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x614f5a14cf10 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.4s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.5s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.84s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1012s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1034s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1052s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1070s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1085s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1103s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1117s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1130s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1152s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1167s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1183s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1201s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1214s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1229s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1247s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1259s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1275s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1292s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1307s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1323s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1342s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1358s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1373s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1389s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1404s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1419s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1441s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1457s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1473s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1492s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1511s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1524s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1540s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1551s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1566s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1582s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1627s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1641s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1659s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1676s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1693s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1694s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1696s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 23111533 bytes MEM: Free's : 26 free's of 23111533 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:08.861191915 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{12,43,4,30,4} Process Process-1: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{12,43,4,30,4}

[gw21] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw21] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw21] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_308'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_308', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-1' pid=479316 parent=478519 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw21] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x6520e87e0f40 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_308/artifacts/subgraph_0_tidl_net.bin

[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_1031'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_1031', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-1' pid=479315 parent=477818 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x6187122c50a0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.4s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.5s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.75s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.11603s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.11713s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.11732s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.11747s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.11768s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.11784s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.11799s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.11816s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.11830s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.11845s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.11859s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.11870s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.11884s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.11907s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.11920s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.11932s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.11946s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.11958s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.11970s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.11987s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.11998s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.12010s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.12024s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.12037s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.12048s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.12064s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.12076s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.12089s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.12104s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.12116s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.12134s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.12147s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.12159s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.12170s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.12188s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.12199s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.12218s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.12232s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.12243s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.12256s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.12271s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.12273s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.12275s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18909997 bytes MEM: Free's : 26 free's of 18909997 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:08.847081137 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{84,4,11,4} Process Process-1: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{84,4,11,4}

[gw22] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw22] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw22] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_1036'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_1036', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-1' pid=479317 parent=478585 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw22] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x62ae23e14360 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.94s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.990s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1007s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1025s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1045s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1064s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1080s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1096s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1110s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1121s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1138s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1152s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1219s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1238s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1253s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1270s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1286s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1299s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1312s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1328s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1343s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1360s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1377s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1392s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1407s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1426s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1442s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1457s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1475s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1487s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1502s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1519s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1531s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1547s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1563s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1577s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1589s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1611s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1627s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1641s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1658s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1673s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1674s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1677s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18909997 bytes MEM: Free's : 26 free's of 18909997 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:08.918461278 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{4,66,14,4} Process Process-1: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{4,66,14,4}

[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_277'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_277', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-1' pid=479324 parent=478084 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x57a6e68699a0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_277/artifacts/subgraph_0_tidl_net.bin

[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_549'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_549', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-1' pid=479326 parent=478652 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x60c9289bee10 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.93s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.964s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.984s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1001s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1014s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1035s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1052s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1067s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1079s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1098s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1114s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1128s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1144s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1156s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1171s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1188s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1202s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1218s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1233s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1251s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1268s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1284s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1302s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1316s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1335s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1352s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1365s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1381s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1394s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1413s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1428s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1446s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1458s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1476s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1488s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1502s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1520s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1537s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1551s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1568s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1583s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1598s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1600s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1602s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 23111533 bytes MEM: Free's : 26 free's of 23111533 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:08.922839543 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{12,43,4,4,30} Process Process-1: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{12,43,4,4,30}

[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_117'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_117', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-1' pid=479327 parent=477748 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5a376be59370 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.68s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.862s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.876s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.896s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.908s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.925s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.938s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.950s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.961s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.975s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.988s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1002s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1014s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1029s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1045s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1056s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1069s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1082s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1094s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1105s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1120s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1130s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1146s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1158s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1169s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1180s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1192s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1205s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1219s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1230s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1240s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1254s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1265s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1280s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1291s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1306s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1317s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.38360s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.38386s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.38406s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.38421s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.38436s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.38437s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.38440s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 20035693 bytes MEM: Free's : 26 free's of 20035693 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:08.883181242 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{80,3,4,80} Process Process-1: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{80,3,4,80}

[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_689'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_689', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-2' pid=480713 parent=478427 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x64c740ce31c0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_689/artifacts/subgraph_0_tidl_net.bin

[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_279'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_279', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-2' pid=480802 parent=478186 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5bff51fb4280 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_279/artifacts/subgraph_0_tidl_net.bin

[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_742'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_742', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-2' pid=480804 parent=478387 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5a15a410acf0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_742/artifacts/subgraph_0_tidl_net.bin

[gw5] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw5] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw5] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_804'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_804', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-2' pid=480852 parent=477744 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw5] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5dc81c3ee6a0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.11s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.102s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1027s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1046s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1065s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1080s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1102s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1118s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1136s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1152s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1168s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1183s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1199s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1215s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1229s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1249s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1263s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1278s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1291s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1306s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1320s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1337s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1350s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1367s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1384s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1399s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1414s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1433s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1447s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1460s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1473s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1486s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1506s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1519s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1535s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1552s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1569s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1582s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1604s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1618s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1631s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1650s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1668s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1670s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1672s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18693949 bytes MEM: Free's : 26 free's of 18693949 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:09.149296705 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{16,1,1,11,11} Process Process-2: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{16,1,1,11,11}

[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_429'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_429', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-2' pid=480933 parent=477783 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x582507fcf520 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.123s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1226s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1252s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1282s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1302s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1330s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1351s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1375s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1395s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1416s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1436s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1458s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1475s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1495s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1535s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1552s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1569s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1590s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1606s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1630s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1652s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1669s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1691s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1713s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1733s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1753s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1773s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1793s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1810s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1828s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1847s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1871s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1890s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1907s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1923s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1949s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1967s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1991s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.2013s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.2034s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.2057s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.2083s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.2084s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.2087s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 19485289 bytes MEM: Free's : 26 free's of 19485289 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:09.184534899 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,9,2,22,11} Process Process-2: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,9,2,22,11}

[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_21'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_21', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-2' pid=481055 parent=477748 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5a376bf8f980 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.96s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.4675s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.4702s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.4722s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.4736s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.4758s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.4774s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.4788s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.4802s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.4819s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.4833s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.4851s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.4866s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.4885s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.4905s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.4918s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.4934s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.4949s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.4962s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.4975s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.4992s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.5005s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.5023s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.5037s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.5051s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.5064s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.5078s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.5096s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.5109s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.5121s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.5138s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.5153s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.5166s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.5185s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.5198s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.5212s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.5227s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.5245s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.5258s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.5276s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.5292s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.5310s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.5312s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.5314s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18696301 bytes MEM: Free's : 26 free's of 18696301 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:09.210746078 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{2048} Process Process-2: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{2048}

[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_468'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_468', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-2' pid=481145 parent=478084 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x57a6e67c6360 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.91s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1159s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1180s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1195s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1208s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1224s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1240s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1253s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1269s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1285s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1302s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1313s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1327s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1342s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1360s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1375s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1388s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1404s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1420s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1435s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1450s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1467s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1487s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1499s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1514s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1528s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1543s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1560s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1572s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1584s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1600s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1618s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1631s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1646s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1657s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1672s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1686s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1703s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1719s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1735s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1750s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1767s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1770s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1772s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 19485289 bytes MEM: Free's : 26 free's of 19485289 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:09.230852771 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,22,11,2,9} Process Process-2: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,22,11,2,9}

[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_1025'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_1025', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-2' pid=481162 parent=477728 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5a59393025f0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.94s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.5191s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.5212s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.5231s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.5349s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.5371s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.5387s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.5403s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.5417s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.5435s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.5452s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.5467s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.5479s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.5494s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.5512s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.5527s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.5542s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.5557s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.5571s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.5586s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.5603s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.5615s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.5632s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.5649s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.5662s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.5679s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.5691s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.5705s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.5723s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.5736s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.5749s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.5770s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.5783s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.5800s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.5816s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.5832s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.5844s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.5867s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.5880s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.5895s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.5913s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.5931s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.5932s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.5934s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18677857 bytes MEM: Free's : 26 free's of 18677857 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:09.267146522 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{1,23,5,6,2} Process Process-2: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{1,23,5,6,2}

[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_301'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_301', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-2' pid=481485 parent=478151 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5feb179b6140 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_301/artifacts/subgraph_0_tidl_net.bin

[gw9] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw9] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw9] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_886'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_886', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-3' pid=481569 parent=477852 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw9] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x61523aa710a0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.116s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1252s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1281s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1315s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1340s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1381s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1406s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.15448s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.15496s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.15521s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.15549s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.15576s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.15596s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.15617s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.15648s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.15672s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.15699s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.15723s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.15745s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.15769s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.15798s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.15818s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.15842s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.15867s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.15888s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.15912s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.15938s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.15959s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.15980s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.16011s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.16035s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.16060s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.16084s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.16106s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.16126s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.16151s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.16172s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.16202s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.16231s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.16256s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.16284s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.16312s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.16314s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.16316s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18693949 bytes MEM: Free's : 26 free's of 18693949 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:09.536139067 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,1,11,16,1} Process Process-3: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,1,11,16,1}

[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_157'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_157', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-3' pid=481570 parent=478383 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5a03dfdaf500 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_157/artifacts/subgraph_0_tidl_net.bin
------------------------------Captured stderr call------------------------------
Process Process-3: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 78, in run_inference self.start_inference() File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 70, in start_inference self.interpreter = self._create_interpreter(is_import=False) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 120, in _create_interpreter interpreter = onnxruntime.InferenceSession(self.kwargs['model_file'], providers=ep_list, File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 387, in __init__ self._create_inference_session(providers, provider_options, disabled_optimizers) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 439, in _create_inference_session sess.initialize_session(providers, provider_options, disabled_optimizers) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Create state function failed. Return value:-1

[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_593'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_593', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-3' pid=481643 parent=477783 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5825082a1fc0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.15s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.17s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.147s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.19378s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.19410s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.19440s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.19463s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.19496s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.19519s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.19550s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.19575s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.19600s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.19624s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.19656s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.19678s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.19704s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.19741s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.19764s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.19790s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.19818s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.19837s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.19862s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.19890s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.19909s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.19938s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.19966s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.19988s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.20009s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.20035s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.20060s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.20083s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.20107s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.20127s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.20156s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.20180s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.20201s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.20222s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.20249s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.20269s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.20300s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.20324s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.20347s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.20371s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.20405s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.20407s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.20410s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 23111533 bytes MEM: Free's : 26 free's of 23111533 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:09.572397160 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{30,4,12,4,43} Process Process-3: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{30,4,12,4,43}

[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_488'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_488', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-3' pid=481645 parent=477737 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x619d27cedc70 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.108s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1190s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1224s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1247s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1273s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1305s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1324s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1344s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1366s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1388s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1409s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1433s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1450s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1469s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1493s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1512s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1535s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1558s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1573s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1592s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1613s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1632s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1657s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1677s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1693s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1708s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1730s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1749s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1763s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1784s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1799s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1822s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1840s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1859s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1875s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1895s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1909s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1932s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1953s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1971s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1990s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.2015s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.2016s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.2019s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 19485289 bytes MEM: Free's : 26 free's of 19485289 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:09.462465080 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{22,11,2,9,11} Process Process-3: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{22,11,2,9,11}

[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_443'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_443', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-2' pid=481644 parent=477985 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x57c4d35c00f0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.105s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1190s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1212s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1234s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1252s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1284s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1306s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1328s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1346s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1365s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1383s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1402s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1421s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1441s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1464s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1487s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1505s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1525s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1545s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1568s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1588s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1607s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1628s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1643s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1666s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1683s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1700s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1723s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1739s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1756s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1777s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1800s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1817s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1837s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1853s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1868s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1888s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1912s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1930s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1953s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1972s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1991s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1993s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1995s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 19485289 bytes MEM: Free's : 26 free's of 19485289 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:09.452480166 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,22,9,11,2} Process Process-2: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,22,9,11,2}

[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_524'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_524', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-3' pid=481710 parent=477728 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5a59394e83d0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.4828s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.5854s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.5877s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.5902s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.5917s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.5938s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.5953s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.5970s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.5982s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.5996s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.6013s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.6029s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.6044s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.6067s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.6089s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.6108s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.6125s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.6146s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.6163s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.6181s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.6200s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.6215s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.6234s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.6253s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.6269s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.6284s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.6301s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.6319s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.6338s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.6353s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.6370s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.6395s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.6414s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.6433s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.6447s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.6467s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.6482s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.6504s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.6521s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.6539s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.6557s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.6584s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.6586s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.6588s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 23111533 bytes MEM: Free's : 26 free's of 23111533 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:09.560167000 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{4,30,43,4,12} Process Process-3: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{4,30,43,4,12}

[gw5] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw5] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw5] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_922'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_922', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-3' pid=481932 parent=477744 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw5] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5dc81c433920 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.90s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.5249s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.5264s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.5284s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.5296s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.5312s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.5489s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.5503s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.5517s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.5528s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.5539s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.5553s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.5565s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.5575s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.5592s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.5602s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.5613s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.5625s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.5637s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.5650s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.5665s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.5674s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.5686s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.5702s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.5715s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.5725s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.5740s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.5750s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.5760s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.5773s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.5785s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.5799s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.5811s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.5824s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.5836s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.5852s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.5863s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.5875s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.5888s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.5899s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.5913s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.5931s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.5932s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.5934s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18677857 bytes MEM: Free's : 26 free's of 18677857 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:09.555607575 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{2,23,1,6,5} Process Process-3: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{2,23,1,6,5}

[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_517'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_517', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-2' pid=482056 parent=478221 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5a8d1f419980 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.80s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.811s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.827s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.840s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.850s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.869s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.889s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.900s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.909s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.926s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.936s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.948s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.961s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.973s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.988s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1002s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1015s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1029s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1042s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1052s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1066s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1084s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1098s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1112s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1125s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1138s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1152s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1167s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1176s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1189s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1203s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1215s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1225s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1239s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1249s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1327s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1340s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1355s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1366s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1378s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1392s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1406s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1407s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1409s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 23111533 bytes MEM: Free's : 26 free's of 23111533 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:09.544630398 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{4,4,43,12,30} Process Process-2: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{4,4,43,12,30}

[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_659'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_659', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-3' pid=482232 parent=478652 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x60c9288254c0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_659/artifacts/subgraph_0_tidl_net.bin

[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_695'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_695', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-3' pid=482315 parent=478427 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x64c740d27db0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_695/artifacts/subgraph_0_tidl_net.bin

[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_639'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_639', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-2' pid=482472 parent=477734 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x631fde34ceb0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_639/artifacts/subgraph_0_tidl_net.bin

[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_574'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_574', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-3' pid=482561 parent=477740 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5abffe933020 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.88s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.817s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.838s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.858s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.870s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.887s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.900s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.913s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.10816s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.10838s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.10851s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.10862s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.10876s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.10887s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.10905s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.10916s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.10932s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.10945s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.10956s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.10968s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.10982s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.10994s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.11007s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.11020s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.11030s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.11040s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.11052s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.11066s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.11079s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.11092s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.11103s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.11119s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.11130s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.11141s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.11152s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.11163s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.11174s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.11192s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.11205s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.11218s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.11231s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.11246s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.11247s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.11250s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 23111533 bytes MEM: Free's : 26 free's of 23111533 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:09.720354299 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{4,43,4,30,12} Process Process-3: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{4,43,4,30,12}

[gw22] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw22] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw22] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_489'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_489', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-3' pid=482628 parent=478585 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw22] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x62ae23d57a00 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.12s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.105s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.30502s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.30546s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.30566s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.30594s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.30623s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.30647s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.30667s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.30688s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.30708s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.30730s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.30752s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.30771s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.30796s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.30819s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.30841s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.30862s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.30885s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.30904s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.30923s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.30945s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.30966s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.30989s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.31011s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.31033s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.31052s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.31072s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.31093s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.31116s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.31137s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.31158s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.31182s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.31200s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.31224s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.31242s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.31263s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.31282s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.31308s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.31329s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.31351s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.31372s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.31396s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.31397s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.31400s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 19485289 bytes MEM: Free's : 26 free's of 19485289 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:09.894158574 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{22,11,2,11,9} Process Process-3: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{22,11,2,11,9}

[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_1022'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_1022', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-4' pid=482662 parent=478084 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x57a6e68ba750 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.12s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.104s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.29028s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.29058s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.29085s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.29105s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.29131s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.29150s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.29171s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.29193s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.29211s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.29238s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.29255s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.29273s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.29302s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.29329s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.29346s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.29371s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.29392s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.29409s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.29441s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.29463s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.29483s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.29511s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.29529s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.29546s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.29573s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.29593s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.29615s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.29636s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.29653s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.29670s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.29699s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.29716s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.29733s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.29754s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.29775s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.29801s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.29833s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.29853s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.29871s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.29897s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.29918s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.29920s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.29922s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18677857 bytes MEM: Free's : 26 free's of 18677857 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:09.879135891 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{1,23,6,2,5} Process Process-4: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{1,23,6,2,5}

[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_975'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_975', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-4' pid=482664 parent=478652 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x60c92882bae0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.212s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1057s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1097s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1114s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1129s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1151s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1167s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1184s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1199s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1216s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1234s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1285s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1301s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1318s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1337s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1353s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1369s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1386s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1401s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1419s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1437s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1455s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1474s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1491s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1510s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1526s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1542s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1560s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1574s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1590s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1607s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1627s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1643s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1662s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1677s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1693s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1712s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1730s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1746s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1764s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1780s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1797s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1798s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1800s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18677857 bytes MEM: Free's : 26 free's of 18677857 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:09.799002363 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{5,1,6,23,2} Process Process-4: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{5,1,6,23,2}

[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_758'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_758', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-3' pid=482688 parent=478186 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5bff51ff9100 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_758/artifacts/subgraph_0_tidl_net.bin

[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_538'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_538', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-3' pid=482779 parent=478387 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5a15a4333650 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.101s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1041s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1072s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1096s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1144s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1168s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1192s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1215s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1238s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1264s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1284s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1306s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1331s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1350s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1483s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1510s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1532s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1556s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1587s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1616s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1646s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1673s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1694s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1717s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1752s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1774s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1796s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1821s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1841s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1865s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1890s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1912s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1932s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1957s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1978s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.2002s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.2027s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.2049s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.2068s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.2098s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.2120s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.2147s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.2149s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.2151s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 23111533 bytes MEM: Free's : 26 free's of 23111533 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:09.892458208 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{12,4,4,43,30} Process Process-3: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{12,4,4,43,30}

[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_880'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_880', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-4' pid=482963 parent=477783 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5825080c4f30 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.71s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.4745s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.4768s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.4787s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.4798s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.4816s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.4832s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.4852s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.4862s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.4874s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.4885s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.4898s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.4911s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.4921s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.4936s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.4948s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.4959s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.4971s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.4984s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.4995s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.5007s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.5021s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.5034s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.5045s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.5059s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.5069s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.5079s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.5094s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.5106s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.5116s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.5129s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.5144s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.5153s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.5166s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.5175s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.5188s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.5201s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.5217s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.5227s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.5239s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.5251s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.5267s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.5268s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.5269s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18693949 bytes MEM: Free's : 26 free's of 18693949 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:09.778115547 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,16,11,1,1} Process Process-4: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,16,11,1,1}

[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_214'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_214', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-3' pid=483441 parent=477818 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x6187122f1560 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_214/artifacts/subgraph_0_tidl_net.bin

[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_943'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_943', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-4' pid=483358 parent=477737 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x619d27e20920 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.106s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.34124s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.34163s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.34194s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.34217s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.34245s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.34265s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.34289s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.34311s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.34333s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.34353s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.34376s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.34397s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.34418s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.34442s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.34466s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.34488s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.34511s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.34529s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.34551s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.34573s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.34595s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.34620s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.34641s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.34663s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.34683s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.34711s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.34732s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.34750s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.34776s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.34795s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.34821s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.34842s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.34864s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.34886s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.34918s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.34936s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.34963s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.34986s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.35008s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.35031s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.35067s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.35068s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.35071s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18677857 bytes MEM: Free's : 26 free's of 18677857 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:09.932099754 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{6,23,2,1,5} Process Process-4: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{6,23,2,1,5}

[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_755'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_755', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-4' pid=483399 parent=477728 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5a5939307230 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_755/artifacts/subgraph_0_tidl_net.bin

[gw10] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw10] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw10] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_797'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_797', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-5' pid=483718 parent=477887 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw10] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x633b27303de0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.103s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1006s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1029s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1057s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1081s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1107s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1128s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1148s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1168s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1192s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1213s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1236s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1258s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1282s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1310s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1330s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1351s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1374s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1395s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1417s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1444s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1463s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1490s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1518s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1542s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1567s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1588s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1610s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1633s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1655s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1677s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1703s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1723s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1744s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1767s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1789s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1807s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1838s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1860s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1884s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1911s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1939s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1940s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1943s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18693949 bytes MEM: Free's : 26 free's of 18693949 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:09.907097857 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{16,1,1,11,11} Process Process-5: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{16,1,1,11,11}

[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_225'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_225', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-4' pid=483765 parent=477740 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5abffe753e40 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_225/artifacts/subgraph_0_tidl_net.bin

[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_150'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_150', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -6
E assert -6 == 0
E + where -6 = <Process name='Process-3' pid=484222 parent=477734 stopped exitcode=-SIGABRT>.exitcode

test_tidl_unit.py:123: AssertionError[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x631fde350dc0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.113s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1140s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1162s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1181s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1195s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1214s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1228s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1246s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1258s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1272s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1285s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1297s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1310s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1323s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1343s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1358s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1370s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1385s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1398s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1412s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1424s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1449s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1463s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1475s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1489s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1502s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1514s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1529s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1541s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1553s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1567s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1585s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1596s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1613s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1624s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1637s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1652s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1670s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1682s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1697s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1712s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1730s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1731s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1734s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:10.074392809 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{128,128,8,2} terminate called after throwing an instance of 'onnxruntime::OnnxRuntimeException' what(): /root/onnxruntime/onnxruntime/core/framework/bfc_arena.cc:92 onnxruntime::BFCArena::Chunk* onnxruntime::BFCArena::ChunkFromHandle(onnxruntime::BFCArena::ChunkHandle) h < chunks_.size() was false.

[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_470'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_470', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-4' pid=484156 parent=477985 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x57c4d35c74d0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.95s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1057s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1075s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1098s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1112s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1136s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1151s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1168s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1182s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1194s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1210s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1226s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1240s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1255s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1274s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1292s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1305s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1320s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1334s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1350s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1364s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1379s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1397s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1410s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1426s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1440s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1455s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1472s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1485s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1499s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1511s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1531s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1546s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1561s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1576s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1588s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1603s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1625s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1639s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1656s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1673s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1697s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1700s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1702s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 19485289 bytes MEM: Free's : 26 free's of 19485289 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:10.023691180 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{22,2,9,11,11} Process Process-4: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{22,2,9,11,11}

[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_403'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_403', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-5' pid=484265 parent=477748 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5a376beac250 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.83s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.870s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.889s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.906s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.918s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.935s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.947s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1214s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1227s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1243s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1255s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1270s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1281s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1299s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1316s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1327s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1339s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1352s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1363s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1375s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1390s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1403s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1418s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1428s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1439s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1450s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1462s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1474s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1484s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1496s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1508s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1522s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1534s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1550s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1560s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1573s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1584s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1601s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1612s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1625s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1641s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1657s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1659s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1660s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 19485289 bytes MEM: Free's : 26 free's of 19485289 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:10.047582951 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{9,2,22,11,11} Process Process-5: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{9,2,22,11,11}

[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_651'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_651', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-4' pid=484290 parent=478186 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5bff51ffcde0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_651/artifacts/subgraph_0_tidl_net.bin

[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_212'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_212', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-5' pid=484289 parent=477728 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5a5939309c80 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_212/artifacts/subgraph_0_tidl_net.bin

[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_350'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_350', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-4' pid=484354 parent=477818 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x6187122f47d0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_350/artifacts/subgraph_0_tidl_net.bin

[gw5] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw5] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw5] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_262'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_262', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-5' pid=484508 parent=477744 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw5] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5dc81c438600 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_262/artifacts/subgraph_0_tidl_net.bin

[gw9] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw9] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw9] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_977'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_977', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-5' pid=484711 parent=477852 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw9] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x61523aa771d0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.4s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.5s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.71s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.798s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.811s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.830s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.844s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.861s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.876s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.893s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.903s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.917s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.931s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.944s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.955s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.966s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.981s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.995s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1009s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1020s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1031s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1044s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1059s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1070s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1083s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1145s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1157s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1171s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1182s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1193s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1204s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1218s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1231s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1245s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1256s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1267s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1278s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1288s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1300s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1318s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1332s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1350s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1364s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1378s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1379s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1381s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18677857 bytes MEM: Free's : 26 free's of 18677857 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:10.136375324 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{5,1,23,6,2} Process Process-5: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{5,1,23,6,2}

[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_743'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_743', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-4' pid=484710 parent=478286 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x60351abbe4a0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_743/artifacts/subgraph_0_tidl_net.bin

[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_660'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_660', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-5' pid=484909 parent=478383 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5a03dfdf8e80 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_660/artifacts/subgraph_0_tidl_net.bin

[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_491'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_491', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-5' pid=484999 parent=477740 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5abffe66b0d0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.11s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.157s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.20053s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.20084s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.20113s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.20134s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.20160s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.20182s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.20205s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.20225s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.20249s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.20270s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.20290s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.20316s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.20335s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.20363s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.20384s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.20404s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.20424s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.20449s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.20472s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.20497s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.20516s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.20540s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.20560s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.20580s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.20600s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.20619s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.20642s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.20666s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.20692s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.20713s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.20740s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.20761s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.20781s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.20800s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.20822s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.20847s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.20875s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.20895s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.20922s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.20944s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.20970s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.20972s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.20974s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 19485289 bytes MEM: Free's : 26 free's of 19485289 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:10.261561600 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{22,11,9,11,2} Process Process-5: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{22,11,9,11,2}

[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_59'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_59', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-5' pid=485205 parent=477737 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x619d27d37ff0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.4s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.5s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.66s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.819s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.837s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.853s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.865s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.881s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.894s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.907s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.920s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.934s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.946s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.960s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.971s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.984s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.999s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1012s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1027s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1040s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1051s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1066s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1078s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1092s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1111s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1126s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1141s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1153s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1166s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1178s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1189s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1205s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1216s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1233s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1244s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1256s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1269s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1280s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1293s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1309s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1322s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1335s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1347s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1362s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1363s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1365s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 19275885 bytes MEM: Free's : 26 free's of 19275885 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:10.253458046 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{8,64,64} Process Process-5: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{8,64,64}

[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_285'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_285', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-5' pid=485455 parent=477985 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x57c4d36b32c0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_285/artifacts/subgraph_0_tidl_net.bin

[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_954'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_954', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-5' pid=485616 parent=478387 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5a15a415a330 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.11s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.107s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.8248s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.8288s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.8310s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.8337s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.8363s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.8388s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.8409s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.8428s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.8451s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.8473s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.8498s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.8519s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.8541s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.8566s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.8588s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.8608s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.8631s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.8652s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.8675s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.8698s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.8717s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.8738s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.8757s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.8781s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.8800s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.8820s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.8838s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.8857s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.8877s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.8897s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.8920s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.8938s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.8957s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.8974s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.8996s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.9014s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.9037s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.9056s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.9078s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.9100s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.9129s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.9131s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.9133s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18677857 bytes MEM: Free's : 26 free's of 18677857 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:10.326106881 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{5,2,6,23,1} Process Process-5: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{5,2,6,23,1}

[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_452'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_452', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-5' pid=485720 parent=477818 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x61871220b9c0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.115s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1040s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1059s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1087s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1104s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1123s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1142s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1160s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1177s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1193s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1210s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1222s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1235s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1252s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1271s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1288s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1306s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1319s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1333s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1350s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1369s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1382s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1398s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1411s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1427s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1440s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1459s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1475s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1490s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1503s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1517s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1537s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1552s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1568s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1583s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1598s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1613s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1636s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1650s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1664s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1679s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1694s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1696s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1698s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 19485289 bytes MEM: Free's : 26 free's of 19485289 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:10.348146821 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,9,2,11,22} Process Process-5: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,9,2,11,22}

[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_824'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_824', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-6' pid=485868 parent=478383 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5a03dfe00530 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.89s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.976s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.996s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1018s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1033s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1050s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1062s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1075s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1090s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1101s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1114s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1128s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1140s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1153s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1168s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1181s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1195s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1207s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1220s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1231s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1246s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1257s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1271s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1282s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1296s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1309s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1322s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1336s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1348s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1360s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1372s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1386s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1398s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1414s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1425s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1437s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1448s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1466s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1478s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1490s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1504s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1520s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1521s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1523s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18693949 bytes MEM: Free's : 26 free's of 18693949 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:10.376456054 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{1,1,11,11,16} Process Process-6: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{1,1,11,11,16}

[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_681'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_681', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-5' pid=485869 parent=478286 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x60351abc1320 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_681/artifacts/subgraph_0_tidl_net.bin

[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_866'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_866', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-5' pid=485936 parent=478221 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5a8d1f243c00 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.77s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.850s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.873s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.885s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.897s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.919s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.930s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.942s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.955s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.967s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.979s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.994s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1006s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1017s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1033s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1047s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1058s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1073s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1083s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1093s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1111s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1124s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1138s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1153s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1163s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1175s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1191s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1202s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1212s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1226s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1237s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1250s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1264s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1277s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1287s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1301s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1311s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1323s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1338s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1348s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1360s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1379s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1380s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1381s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18693949 bytes MEM: Free's : 26 free's of 18693949 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:10.420260788 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,11,16,1,1} Process Process-5: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,11,16,1,1}

[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_186'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_186', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-5' pid=485938 parent=478186 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5bff51ffd3a0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_186/artifacts/subgraph_0_tidl_net.bin
------------------------------Captured stderr call------------------------------
Process Process-5: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 78, in run_inference self.start_inference() File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 70, in start_inference self.interpreter = self._create_interpreter(is_import=False) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 120, in _create_interpreter interpreter = onnxruntime.InferenceSession(self.kwargs['model_file'], providers=ep_list, File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 387, in __init__ self._create_inference_session(providers, provider_options, disabled_optimizers) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 439, in _create_inference_session sess.initialize_session(providers, provider_options, disabled_optimizers) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Create state function failed. Return value:-1

[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_219'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_219', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-4' pid=485964 parent=477734 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x631fde352040 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_219/artifacts/subgraph_0_tidl_net.bin

[gw10] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw10] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw10] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_907'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_907', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-6' pid=485962 parent=477887 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw10] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x633b27349850 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.103s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.26514s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.26544s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.26578s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.26602s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.26632s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.26655s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.26675s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.26695s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.26719s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.26748s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.26777s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.26797s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.26824s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.26850s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.26871s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.26895s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.26917s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.26935s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.26962s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.26987s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.27009s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.27034s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.27058s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.27081s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.27105s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.27125s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.27147s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.27171s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.27193s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.27211s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.27238s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.27258s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.27282s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.27305s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.27329s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.27348s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.27378s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.27401s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.27421s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.27446s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.27472s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.27474s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.27476s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18677857 bytes MEM: Free's : 26 free's of 18677857 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:10.523082979 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{2,6,5,1,23} Process Process-6: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{2,6,5,1,23}

[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_466'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_466', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-7' pid=485987 parent=477728 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5a5939226710 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.71s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.828s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.844s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.865s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.877s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.894s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.906s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.922s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.934s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.949s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.962s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.974s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.984s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.998s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1014s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1028s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1039s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1053s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1065s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1082s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1096s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1112s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1125s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1145s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1160s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1171s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1182s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1199s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1213s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1224s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1238s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1258s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1269s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1287s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1298s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1312s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1328s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1355s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1366s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1383s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1398s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1419s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1420s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1421s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 19485289 bytes MEM: Free's : 26 free's of 19485289 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:10.445626539 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,22,9,2,11} Process Process-7: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,22,9,2,11}

[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_259'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_259', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-7' pid=486136 parent=477748 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5a376bf9a140 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_259/artifacts/subgraph_0_tidl_net.bin

[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_416'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_416', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-6' pid=486400 parent=478427 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x64c740c46c10 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.4s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.5s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.83s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.4865s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.4884s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.4899s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.4912s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.4928s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.4941s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.4955s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.4966s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.4980s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.4994s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.5006s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.5017s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.5030s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.5049s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.5059s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.5073s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.5088s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.5100s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.5111s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.5126s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.5137s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.5152s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.5164s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.5174s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.5186s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.5200s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.5219s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.5230s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.5244s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.5255s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.5271s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.5285s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.5297s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.5310s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.5323s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.5333s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.5349s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.5363s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.5373s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.5398s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.5416s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.5417s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.5419s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 19485289 bytes MEM: Free's : 26 free's of 19485289 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:10.517145063 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{9,22,2,11,11} Process Process-6: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{9,22,2,11,11}

[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_673'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_673', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-7' pid=486571 parent=478652 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x60c928831160 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_673/artifacts/subgraph_0_tidl_net.bin

[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_342'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_342', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-6' pid=486878 parent=478084 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x57a6e68bcb40 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_342/artifacts/subgraph_0_tidl_net.bin

[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_883'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_883', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-6' pid=486877 parent=477818 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x6187122fd770 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.4s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.4s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.78s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.975s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.990s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1010s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1022s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1037s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1051s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1065s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1077s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1088s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1103s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1115s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1131s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1143s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1156s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1169s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1181s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1192s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1204s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1216s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1230s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1240s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1254s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1265s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1276s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1286s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1302s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1316s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1331s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1342s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1353s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1369s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1380s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1394s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1407s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1423s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1435s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1452s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1463s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1474s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1487s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1501s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1502s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1503s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18693949 bytes MEM: Free's : 26 free's of 18693949 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:10.556177756 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,1,16,1,11} Process Process-6: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,1,16,1,11}

[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_661'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_661', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-7' pid=487137 parent=478151 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5feb179c3340 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_661/artifacts/subgraph_0_tidl_net.bin

[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_916'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_916', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-5' pid=487440 parent=477988 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x6389bc7f0cf0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.87s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.4716s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.4733s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.4751s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.4767s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.4780s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.4792s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.4809s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.4820s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.4834s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.4850s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.4862s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.4872s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.4886s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.4902s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.4917s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.4931s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.4942s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.4955s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.4968s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.4981s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.4993s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.5006s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.5020s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.5031s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.5042s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.5056s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.5068s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.5081s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.5092s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.5102s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.5117s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.5130s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.5143s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.5152s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.5164s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.5173s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.5190s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.5205s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.5216s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.5228s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.5243s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.5244s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.5246s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18677857 bytes MEM: Free's : 26 free's of 18677857 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:10.717135223 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{2,5,1,6,23} Process Process-5: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{2,5,1,6,23}

[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_809'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_809', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-6' pid=487335 parent=478186 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5bff52004260 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.11s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.12s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.111s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.18942s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.18981s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.19007s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.19036s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.19066s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.19088s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.19108s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.19132s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.19158s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.19184s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.19207s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.19228s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.19247s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.19276s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.19296s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.19315s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.19334s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.19354s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.19376s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.19401s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.19419s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.19441s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.19463s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.19481s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.19499s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.19520s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.19544s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.19569s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.19591s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.19609s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.19636s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.19657s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.19677s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.19697s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.19716s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.19735s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.19760s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.19779s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.19798s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.19820s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.19910s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.19912s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.19915s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18693949 bytes MEM: Free's : 26 free's of 18693949 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:10.822100030 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{16,11,1,1,11} Process Process-6: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{16,11,1,1,11}

[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_95'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_95', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-8' pid=487239 parent=477728 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5a5939229e20 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.89s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.2998s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.3016s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.3031s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.3045s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.3062s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.3074s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.3090s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.3101s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.3114s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.3131s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.3141s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.3151s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.3166s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.3181s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.3193s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.3206s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.3219s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.3229s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.3244s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.3257s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.3269s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.3284s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.3297s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.3307s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.3320s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.3330s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.3341s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.3355s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.3367s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.3377s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.3396s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.3406s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.3418s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.3431s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.3443s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.3454s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.3472s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.3483s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.3495s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.3511s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.3525s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.3526s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.3528s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 20035693 bytes MEM: Free's : 26 free's of 20035693 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:10.657171862 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{240,4,80} Process Process-8: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{240,4,80}

[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_1040'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_1040', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-7' pid=487780 parent=477737 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x619d27e44d40 Final number of subgraphs created are : 1, - Offloaded Nodes - 2, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.114s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1068s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1102s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1191s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1219s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1252s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1276s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1303s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1326s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1351s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1375s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1400s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1423s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1448s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1475s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1501s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1530s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1557s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1582s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.11870s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.11924s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.11996s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.12030s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.12053s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.12081s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.12102s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.12123s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.12145s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.12166s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.12194s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.12220s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.12248s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.12269s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.12296s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.12318s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.12342s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.12368s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.12398s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.12421s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.12447s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.12472s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.12502s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.12504s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.12509s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18865101 bytes MEM: Free's : 26 free's of 18865101 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
Process Process-7: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 174, in perform_tidl_unit_oneprocess max_nmse = tidl_unit_dataset([results_list])['max_nmse'] File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/datasets/tidl_unit_dataset.py", line 132, in __call__ assert expected_output.shape == output.shape, f" Shape mismatch! Expected {expected_output.shape} got {output.shape}" AssertionError: Shape mismatch! Expected (924, 4, 4) got (4, 4, 4)

[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_828'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_828', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-7' pid=487846 parent=477818 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x618712301ce0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.4s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.5s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.81s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.3030s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.3056s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.3076s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.3091s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.3108s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.3127s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.3144s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.3160s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.3178s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.3197s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.3209s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.3221s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.3240s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.3258s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.3273s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.3292s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.3304s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.3317s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.3337s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.3354s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.3368s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.3387s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.3399s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.3412s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.3430s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.3443s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.3460s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.3478s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.3490s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.3503s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.3558s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.3572s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.4122s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.4152s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.4170s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.4188s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.4209s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.4227s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.4244s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.4262s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.4282s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.4283s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.4286s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18693949 bytes MEM: Free's : 26 free's of 18693949 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:10.789104161 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{1,16,1,11,11} Process Process-7: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{1,16,1,11,11}

[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_181'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_181', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-7' pid=487996 parent=477740 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5abffe75b980 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_181/artifacts/subgraph_0_tidl_net.bin
------------------------------Captured stderr call------------------------------
Process Process-7: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 78, in run_inference self.start_inference() File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 70, in start_inference self.interpreter = self._create_interpreter(is_import=False) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 120, in _create_interpreter interpreter = onnxruntime.InferenceSession(self.kwargs['model_file'], providers=ep_list, File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 387, in __init__ self._create_inference_session(providers, provider_options, disabled_optimizers) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 439, in _create_inference_session sess.initialize_session(providers, provider_options, disabled_optimizers) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Create state function failed. Return value:-1

[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_1046'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_1046', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-7' pid=487995 parent=478427 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x64c740c48cc0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.5s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.107s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1085s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1114s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1138s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1161s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1239s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1260s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1286s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1312s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1335s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1356s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1384s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1402s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1425s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1458s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1479s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1504s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1530s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1552s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1575s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1600s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1624s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1650s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1673s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1693s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1715s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1740s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1764s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1784s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1811s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1830s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1858s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1883s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1902s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1924s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1947s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1965s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1992s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.9035s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.9063s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.9085s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.9112s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.9114s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.9117s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 22572013 bytes MEM: Free's : 26 free's of 22572013 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:10.971884434 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{192,9,10,13} Process Process-7: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{192,9,10,13}

[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_18'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_18', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-8' pid=488260 parent=478652 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x60c928834b60 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.78s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.838s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.856s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.875s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.889s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.908s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.921s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.935s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.947s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.963s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.979s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.995s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1010s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1026s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1044s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1059s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1073s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1089s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1103s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1119s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1134s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1147s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1166s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1180s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1195s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1210s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1224s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1238s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1251s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1267s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1282s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1301s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1315s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1331s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1343s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1360s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1382s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1402s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1417s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1431s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1446s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1463s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1464s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1466s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18671725 bytes MEM: Free's : 26 free's of 18671725 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:10.863244592 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{16,64} Process Process-8: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{16,64}

[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_1049'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_1049', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-7' pid=488259 parent=478387 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5a15a4071c00 Final number of subgraphs created are : 1, - Offloaded Nodes - 2, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.11s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.13s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.112s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.22418s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.22455s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.22476s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.22505s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.22531s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.22559s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.22581s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.22599s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.22625s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.22646s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.22671s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.22697s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.22716s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.22737s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.22764s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.22783s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.22805s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.22828s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.22848s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.22869s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.22893s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.22914s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.22931s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.22958s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.22975s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.22995s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.23017s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.23034s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.23054s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.23075s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.23096s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.23116s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.23137s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.23155s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.23176s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.23198s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.23220s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.23239s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.23265s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.23286s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.23310s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.23312s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.23314s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 21773773 bytes MEM: Free's : 26 free's of 21773773 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
Process Process-7: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 174, in perform_tidl_unit_oneprocess max_nmse = tidl_unit_dataset([results_list])['max_nmse'] File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/datasets/tidl_unit_dataset.py", line 132, in __call__ assert expected_output.shape == output.shape, f" Shape mismatch! Expected {expected_output.shape} got {output.shape}" AssertionError: Shape mismatch! Expected (26, 864, 10) got (2, 864, 10)

[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_87'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_87', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-8' pid=488346 parent=478151 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5feb178d8fb0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.11s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.96s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.3398s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.3440s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.3461s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.3476s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.3494s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.3512s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.3528s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.3541s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.3555s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.3569s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.3584s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.3601s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.3621s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.3642s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.3664s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.3678s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.3691s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.3709s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.3726s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.3742s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.3761s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.3777s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.3793s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.3810s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.3825s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.3842s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.3858s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.3875s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.3890s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.3907s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.3928s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.3942s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.3962s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.3975s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.3990s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.4007s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.4030s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.4044s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.4061s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.4076s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.4096s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.4097s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.4099s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 19275885 bytes MEM: Free's : 26 free's of 19275885 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:10.921490312 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{64,64,4,2} Process Process-8: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{64,64,4,2}

[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_338'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_338', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-6' pid=488347 parent=477988 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x6389bc7f2510 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_338/artifacts/subgraph_0_tidl_net.bin

[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_134'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_134', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -6
E assert -6 == 0
E + where -6 = <Process name='Process-9' pid=488483 parent=477728 stopped exitcode=-SIGABRT>.exitcode

test_tidl_unit.py:123: AssertionError[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5a5939317780 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.11s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.106s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1010s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1040s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1072s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1095s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1127s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1149s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1178s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1198s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1225s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1256s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1275s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1294s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1318s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1345s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1369s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1389s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1413s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.4653s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.4682s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.4710s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.4731s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.4754s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.4781s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.4801s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.4821s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.4848s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.4871s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.4892s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.4916s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.4934s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.4961s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.4986s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.5008s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.5028s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.5054s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.5073s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.5102s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.5147s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.5168s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.5190s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.5220s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.5222s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.5225s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:11.017302288 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{2,8,128,128} terminate called after throwing an instance of 'onnxruntime::OnnxRuntimeException' what(): /root/onnxruntime/onnxruntime/core/framework/bfc_arena.cc:92 onnxruntime::BFCArena::Chunk* onnxruntime::BFCArena::ChunkFromHandle(onnxruntime::BFCArena::ChunkHandle) h < chunks_.size() was false.

[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_92'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_92', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-8' pid=488482 parent=477985 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x57c4d35cf9a0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.88s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1016s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1034s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1052s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1064s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1086s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1099s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1114s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1124s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1137s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1151s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1163s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1174s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1187s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1201s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1214s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1225s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1239s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1250s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1262s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1276s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1287s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1300s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1310s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1324s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1335s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1347s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1364s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1373s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1383s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1396s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1411s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1421s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1437s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1446s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1456s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1468s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1482s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1493s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1506s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1519s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1534s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1537s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1539s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 20035693 bytes MEM: Free's : 26 free's of 20035693 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:10.982545606 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{240,320} Process Process-8: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{240,320}

[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_766'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_766', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-7' pid=488789 parent=478286 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x60351abc85c0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.87s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1046s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1064s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1089s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1101s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1119s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1131s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1143s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1157s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1168s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1179s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1190s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1204s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1216s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1232s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1247s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1260s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1275s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1287s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1301s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1314s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1326s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1342s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1354s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1365s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1378s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1391s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1404s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1416s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1432s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1446s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1460s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1473s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1487s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1501s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1515s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1527s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1544s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1555s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1570s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1588s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1602s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1603s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1605s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18693949 bytes MEM: Free's : 26 free's of 18693949 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:11.021680631 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{176,1,11} Process Process-7: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{176,1,11}

[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_917'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_917', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-8' pid=488596 parent=478383 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5a03dfe05620 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.83s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.909s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.926s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.945s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.957s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.973s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.985s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.999s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1014s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1026s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1038s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1053s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1063s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1074s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1089s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1102s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1114s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1127s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1138s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1149s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1165s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1176s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.15196s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.15224s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.15237s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.15253s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.15265s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.15278s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.15291s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.15302s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.15313s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.15327s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.15339s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.15357s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.15366s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.15377s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.15388s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.15402s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.15411s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.15425s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.15439s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.15453s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.15453s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.15456s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18677857 bytes MEM: Free's : 26 free's of 18677857 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:11.103451990 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{2,5,1,23,6} Process Process-8: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{2,5,1,23,6}

[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_382'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_382', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-8' pid=489018 parent=477740 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5abffe675800 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.87s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.933s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.957s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.977s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.990s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1006s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1020s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1034s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1048s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1063s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1077s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1091s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1108s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1122s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1142s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1156s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1171s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1187s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1201s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1215s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1233s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1246s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1265s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1280s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1293s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1305s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1321s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1336s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1351s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1370s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1382s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1401s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1416s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1429s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1441s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1458s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1471s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1489s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.2217s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.2251s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.2269s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.2293s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.2294s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.2296s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 19485289 bytes MEM: Free's : 26 free's of 19485289 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:11.009491958 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{2,11,11,9,22} Process Process-8: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{2,11,11,9,22}

[gw22] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw22] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw22] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_741'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_741', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-7' pid=489172 parent=478585 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw22] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x62ae23e4e8a0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_741/artifacts/subgraph_0_tidl_net.bin

[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_1051'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_1051', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-8' pid=489130 parent=477737 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x619d27d417b0 Final number of subgraphs created are : 1, - Offloaded Nodes - 2, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.5s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.83s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.3788s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.3815s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.3833s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.3851s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.3874s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.3890s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.3905s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.3917s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.3939s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.3953s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.3968s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.3980s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.3995s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.4012s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.4049s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.4068s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.4084s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.4098s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.4113s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.4128s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.4146s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.4164s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.4193s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.4209s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.4224s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.4240s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.4254s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.4267s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.4283s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.4296s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.4314s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.4329s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.4348s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.4363s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.4377s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.4392s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.4509s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.4526s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.4543s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.4557s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.4575s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.4577s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.4579s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 21696973 bytes MEM: Free's : 26 free's of 21696973 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
Process Process-8: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 174, in perform_tidl_unit_oneprocess max_nmse = tidl_unit_dataset([results_list])['max_nmse'] File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/datasets/tidl_unit_dataset.py", line 132, in __call__ assert expected_output.shape == output.shape, f" Shape mismatch! Expected {expected_output.shape} got {output.shape}" AssertionError: Shape mismatch! Expected (234, 8, 12, 10) got (2, 8, 12, 10)

[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_136'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_136', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -6
E assert -6 == 0
E + where -6 = <Process name='Process-9' pid=489528 parent=478652 stopped exitcode=-SIGABRT>.exitcode

test_tidl_unit.py:123: AssertionError[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x60c928837ae0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.84s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1095s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1118s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1138s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1153s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1177s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1194s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1212s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1229s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1246s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1263s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1281s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1297s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1313s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1330s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1347s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1366s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1383s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1397s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1418s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1434s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1449s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1472s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1486s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1497s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1514s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1527s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1539s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1607s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1622s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1635s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1656s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1668s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1681s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1696s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1709s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1724s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1743s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1757s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1769s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1786s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1802s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1803s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1806s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:11.241497233 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{2,128,128,8} terminate called after throwing an instance of 'onnxruntime::OnnxRuntimeException' what(): /root/onnxruntime/onnxruntime/core/framework/bfc_arena.cc:92 onnxruntime::BFCArena::Chunk* onnxruntime::BFCArena::ChunkFromHandle(onnxruntime::BFCArena::ChunkHandle) h < chunks_.size() was false.

[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_149'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_149', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -6
E assert -6 == 0
E + where -6 = <Process name='Process-9' pid=489570 parent=478151 stopped exitcode=-SIGABRT>.exitcode

test_tidl_unit.py:123: AssertionError[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5feb179c80f0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.92s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.935s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.960s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.976s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.992s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1013s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1033s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1050s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1067s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1081s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1096s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1110s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1127s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1141s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1159s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1177s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1191s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1202s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1216s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1232s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.2890s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.2930s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.2954s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.2971s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.2989s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.3007s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.3019s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.3034s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.3049s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.3061s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.3078s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.3099s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.3111s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.3132s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.3144s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.3159s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.3204s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.3223s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.3245s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.3273s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.3289s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.3308s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.3309s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.3312s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name
------------------------------Captured stderr call------------------------------
2025-05-07 00:35:11.117526411 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{128,128,2,8} terminate called after throwing an instance of 'onnxruntime::OnnxRuntimeException' what(): /root/onnxruntime/onnxruntime/core/framework/bfc_arena.cc:92 onnxruntime::BFCArena::Chunk* onnxruntime::BFCArena::ChunkFromHandle(onnxruntime::BFCArena::ChunkHandle) h < chunks_.size() was false.